Literature DB >> 31055766

Secular changes in dementia risk indices among 70-year-olds: a comparison of two Finnish cohorts born 20 years apart.

Jenni Vire1, Marika Salminen2,3, Paula Viikari4, Tero Vahlberg5, Seija Arve2, Matti Viitanen4,6, Laura Viikari4.   

Abstract

AIMS: To compare dementia risk indices among two separate cohorts of 70-year-olds born 20 year apart.
METHODS: Community-dwelling 70-year-old Finns were examined with similar examinations in 1991 (n = 1032) and in 2011 (n = 960). Dementia risk was assessed with the CAIDE Dementia Risk Score (CAIDE) (n = 1516), the Brief Dementia Risk Index (BDRI) (n = 1598) and the Dementia Screening Indicator (DSI) (n = 1462).
RESULTS: The proportion of subjects with moderate or high risk for dementia was significantly higher in earlier than in later born cohort according to CAIDE (99% and 94%, respectively, p < 0.001) and BDRI (41% and 15%, p < 0.001), but not according to DSI (5% and 6%, p = 0.184). The total scores of the earlier born cohort were significantly higher than those of the later born cohort according to all three indices.
CONCLUSIONS: According to dementia risk indices, it seems that dementia risk has decreased among community-dwelling 70-year-old subjects during the last decades in Finland.

Entities:  

Keywords:  Cohort comparison; Dementia; Older adults; Risk index

Mesh:

Year:  2019        PMID: 31055766      PMCID: PMC7033085          DOI: 10.1007/s40520-019-01204-8

Source DB:  PubMed          Journal:  Aging Clin Exp Res        ISSN: 1594-0667            Impact factor:   3.636


Introduction

Dementia is a major cause of institutionalization in older people, and therefore, it is a major global public health concern [1]. Although no curative treatment is available, epidemiological studies have provided evidence of modifiable risk and protective factors of dementia [2, 3]. Dementia risk indices are tools that quickly and efficiently combine information on known risk factors of dementia, and thus identify individuals with a risk for dementia who can be referred for more frequent monitoring and early interventions in order to prevent or delay onset of cognitive decline [4]. The aim of this cross-sectional study was to compare dementia risk indices in two birth cohorts of 70-year-old community-dwelling Finns born 20 years apart.

Material and methods

Study population The data of two 70-year-old cohorts of community-dwelling older people born in 1920 and 1940 and living in the city of Turku, in Southwest Finland, were collected by using similar postal questionnaires, interviews and clinical examinations in 1991 (The Turku Elderly Study) and 2011 (The New Turku Elderly Study). The data on the subjects included in both cohorts were obtained from the central population register. Altogether 1032 subjects from the earlier cohort (70% of those invited) and 960 subjects from the later cohort (73% of those invited) returned the postal questionnaires and were considered for inclusion in this study. The protocol of data collection and flow charts of the studies are described in detail previously [5]. Participants with missing data of dementia risk indices were excluded.

Dementia Risk indices

The CAIDE Dementia Risk Score (CAIDE) [6], the Brief Dementia Risk Index (BDRI) [7] and the Dementia Screening Indicator (DSI) [8] were used to compare dementia risk between the cohorts. Slightly modified versions of both CAIDE and BDRI were used; DSI was used as an original. The CAIDE, a seven-item risk index (range 0–15), includes age, education, gender, blood pressure, body mass index (BMI), total cholesterol, and physical activity [6]. In our study, physical inactivity was defined as not having daily outdoor activities. Those scoring ≥ 6 points have shown to have an elevated risk for developing dementia during the following 20 years among Finnish middle aged (39–64 years) population [6]. The BDRI [7] consists of 12 items (range 0–14): age, recall of three words presented after a brief delay, copying a figure of two pentagons that intersect to form a diamond, performing either of the first two steps of three-step request, naming at least ten four-legged animals in 30 s, self-reported “trouble keeping my mind on what I was doing” three or more days per week during the past month, medical history of stroke, peripheral artery disease or coronary artery bypass surgery, body mass index and alcohol consumption. We replaced the original item “naming ten four-legged animals in 30 s” with a mathematic exercise “serial sevens” included in Mini-Mental State Examination. We also included angioplasty in coronary artery bypass surgery. Older subjects (aged ≥ 65 years) with total scores of 0–2, 3–5 and ≥ 6 have previously been categorized as having a low, moderate, or high risk for developing dementia during a 6-year follow-up, respectively [7]. The DSI, designed specifically for usage in primary care settings in order to identifying older patients with an increased risk of dementia, includes the following seven items: age, educational attainment, body mass index, presence of diabetes mellitus, history of stroke, need for help in managing money or medications, and depressive symptoms (range 0–56). Subjects scoring ≥ 22 points have been classified as having a high risk for dementia in 65- to 79-year-olds during a 6-year follow-up [8].

Ethics

The study protocol was approved by the City of Turku ethical committee on health care and the ethical committee of the Hospital district of Southwest Finland. Informed consent was obtained from all participants.

Statistical analyses

Differences in dementia risk items and categorized dementia risk level between two cohorts were analyzed by using the Chi-squared test and Fisher’s exact test. Differences in mean scores of indices were tested by using two-sample t test. For BDRI and DSI, analyses were also conducted separately for men and women because gender was not included in those indices. p values < 0.05 were considered statistically significant. All statistical analyses were performed using SAS System for Windows, version 9.4 (SAS Institute Inc., Cary, NC, USA).

Results

Altogether, 1516, 1598 and 1462 participants (63% of women) were included in the comparison of dementia risk with CAIDE, BDRI, and DSI between the cohorts, respectively (Table 1). The proportion of subjects with an increased risk for developing dementia was significantly higher in 1920 cohort compared to 1940 cohort according to categorized CAIDE and BDRI but not according to that of DSI. There were distinct differences in proportions of subjects (cohorts combined) categorized as having an increased (moderate or high) risk for developing dementia according to three indices being 96%, 27% and 6% according to CAIDE, BDRI, and DSI, respectively. The total risk scores of the earlier born cohort were significantly higher than those of the later born cohort according to all three indices.
Table 1

Characteristics of CAIDE Dementia Risk Score, the Brief Dementia Risk Index and the Dementia Screening Indicator in 1920 cohort (n = 1032) and 1940 cohort (n = 956)

Points1920 cohortn = 719n (%)1940 cohortn = 797n (%)p value
CAIDE Dementia Risk Score (CAIDE)
 Age > 53 years4719 (100)797 (100)1.000
 Education (years) < 0.001
  ≥ 10050 (7)169 (21)
  7–9288 (14)183 (23)
  < 73570 (79)445 (56)
 Male1230 (32)328 (41) < 0.001
 Systolic blood pressure > 140 mm Hg2513 (71)516 (65)0.006
 Body mass index > 30 kg/m22115 (16)194 (24) < 0.001
 Total cholesterol > 6.5 mmol/L2241 (34)80 (10) < 0.001
 Physical inactivity135 (5)27 (3)0.143
 Increased risk for dementia ≥ 6711 (99)746 (94) < 0.001
 Total score, mean (SD)9.39 (1.75)8.53 (1.99) < 0.001
The Brief Dementia Risk Index (BDRI)n = 704n = 894
 Age < 75 years0704 (100)894 (100)1.000
 Delayed recall, < 2 of 3 words2323 (46)96 (11) < 0.001
 Incorrectly copying intersecting pentagons1100 (14)56 (6) < 0.001
 Incorrectly taking or folding a paper19 (1)5 (1)0.176
 Serial sevena, < 3 of 5 correct173 (10)82 (9)0.422
 Self-reported ‘trouble keeping mind on things’ often or almost always1131 (19)154 (17)0.474
 Stroke171 (10)80 (9)0.441
 Peripheral artery disease155 (8)16 (2) < 0.001
 Coronary artery bypass surgeryb19 (1)49 (5) < 0.001
Body mass index < 18.5 kg/m217 (1)6 (1)0.578
 Lack of current alcohol consumption1447 (63)743 (83) < 0.001
 Risk level according to BDRI < 0.001
  Low0–2415 (59)759 (85)
  Moderate3–5282 (40)128 (14)
  High ≥ 67 (1)7 (1)
 Total score, mean (SD)2.20 (1.35)1.55 (1.07) < 0.001
The Dementia Screening Indicator (DSI)n = 631n = 831
 Age of 70 years5631 (100)831 (100)1.000
 Less than 12 years of education9590 (94)644 (78) < 0.001
 Body mass index < 18.5 kg/m285 (1)6 (1)1.000
 Type 2 diabetes376 (12)138 (17)0.015
 Stroke667 (11)77 (9)0.390
 Need for help in managing money or medications1016 (3)25 (3)0.588
 Depressive symptomsc630 (5)76 (9)0.001
 Increased risk for dementia ≥ 2230 (5)53 (6)0.184
 Total score, mean (SD)15.02 (3.94)13.94 (5.23) < 0.001

aA mathematic exercise to replace the original characteristic (“Inability to name 10 four-legged animals in 30 s”) of the index

bIncludes also angioplasty

cUse of anti-depressant medications or self-rated feelings of depression

Characteristics of CAIDE Dementia Risk Score, the Brief Dementia Risk Index and the Dementia Screening Indicator in 1920 cohort (n = 1032) and 1940 cohort (n = 956) aA mathematic exercise to replace the original characteristic (“Inability to name 10 four-legged animals in 30 s”) of the index bIncludes also angioplasty cUse of anti-depressant medications or self-rated feelings of depression BDRI and DSI was also analyzed separately in women and men, because gender was not included in either indices. According to BDRI, 38% and 9% (p < 0.001) of women in 1920 and 1940 cohort, respectively, had moderate or high risk for dementia; corresponding proportions of men were 47% and 23% (p < 0.001). Also the total scores of BDRI were significantly higher in 1920 cohort compared to 1940 cohort both in women (Mean ± standard deviation 2.10 ± 1.36 and 1.35 ± 0.92, respectively) (p < 0.001) and in men (2.41 ± 1.30 and 1.84 ± 1.20) (p < 0.001). According to DSI, significant difference was found only in total scores among women (15.06 ± 3.56 and 13.68 ± 5.16) (p ≤ 0.001), and the difference was in favor of the later cohort.

Discussion

The results of our study showed that dementia risk, assessed by using dementia risk indices, has decreased among Finnish community-dwelling older adults during the last decades. This is consistent with the evidence of decreasing age-specific incidence and stable or decreasing age-specific prevalence of dementia in Europe [9-11]. Explanations for the decreasing incidence of dementia are suggested to be higher education [12, 13], brain-healthy lifestyle, better treatment of major vascular risk factors [12, 14], better access to health care interventions as well as improvements in living conditions and social welfare in successive cohorts [15]. Despite time trends in occurrence of dementia, the number of people with dementia is projected to increase mainly because of increased life expectancy and declining rates of mortality [10]. In our study, it was notable that proportions of subjects with an elevated risk for dementia varied a lot based on the index used being distinctly highest according to CAIDE. CAIDE was originally developed for a middle aged population [6], and it showed poor performance in our study which is in line with previous studies also conducted among elderly populations [16-20]. In our study population, all participants received the highest score for age. In addition, CAIDE highlights the role of vascular factors which have found to have inverse associations with dementia among older age groups [20-22]. Therefore, CAIDE is a good index for mid-life dementia risk prediction [23] but application of it among older adults is limited. However, in the Finnish population-based CAIDE study, a late-life dementia index has recently been developed by using a supervised machine learning method which is able to handle large amounts of data, structure risk factors into groups and give a comprehensive overview of an individual’s predictive profile pointing the most relevant risk factors. This late-life dementia index could be useful for dementia prediction of older adults in research settings [10]. BDRI [7] and DSI [8], used in our study, are validated among older ( ≥ 65 years of age) population, and could, therefore, be appropriate instruments to identify older subjects with an elevated risk for developing dementia later in life. Both indices are brief and easy to use in primary care settings. BDRI includes a combination of age and cognitive, lifestyle and cardiovascular factors. In BDRI, cognitive items are highlighted [7]. In the study of Pekkala et al. [10], cognitive performance was the most important predictor, more predictive than age or vascular factors, for subsequent dementia according to supervised machine learning method using a large number of heterogeneous factors. DSI, instead, is a combination of demographic, vascular and lifestyle factors, difficulties in instrumental activities of daily living and depressive symptoms [8]. In our study, proportion of subjects with an increased risk for dementia according to DSI was low in both cohorts. This is somehow consistent with relative low percentages of subjects with an increased risk for dementia based on DSI in earlier studies, ranging from 6 to 27% [8]. It is possible that DSI underestimates dementia risk and thereby misses asymptomatic older adults who should be targeted for cognitive screening. In our study, slightly modified version of CAIDE and BDRI were used in our study. This may have had an impact on risk classification and total scores of indices as well as on comparison of dementia risk between the cohorts. It is also notable, that cohort comparisons cannot confirm changes in risk factors, but only differences between the cohorts. Longitudinal studies can provide more insight regarding changes in dementia risk and cognitive functioning over time. Our next step is to compare dementia incidence between these two Finnish cohorts as well as to evaluate the prognostic value of BDRI among the cohorts.
  23 in total

1.  Cardiovascular risk profile and use of statins at the age of 70 years: a comparison of two Finnish birth cohorts born 20 years apart.

Authors:  Eveliina Upmeier; Jenni Vire; Maarit Jaana Korhonen; Hannu Isoaho; Aapo Lehtonen; Seija Arve; Maarit Wuorela; Matti Viitanen
Journal:  Age Ageing       Date:  2016-01       Impact factor: 10.668

2.  Risk score for the prediction of dementia risk in 20 years among middle aged people: a longitudinal, population-based study.

Authors:  Miia Kivipelto; Tiia Ngandu; Tiina Laatikainen; Bengt Winblad; Hilkka Soininen; Jaakko Tuomilehto
Journal:  Lancet Neurol       Date:  2006-09       Impact factor: 44.182

3.  Models for predicting risk of dementia: a systematic review.

Authors:  Xiao-He Hou; Lei Feng; Can Zhang; Xi-Peng Cao; Lan Tan; Jin-Tai Yu
Journal:  J Neurol Neurosurg Psychiatry       Date:  2018-06-28       Impact factor: 10.154

Review 4.  Defeating Alzheimer's disease and other dementias: a priority for European science and society.

Authors:  Bengt Winblad; Philippe Amouyel; Sandrine Andrieu; Clive Ballard; Carol Brayne; Henry Brodaty; Angel Cedazo-Minguez; Bruno Dubois; David Edvardsson; Howard Feldman; Laura Fratiglioni; Giovanni B Frisoni; Serge Gauthier; Jean Georges; Caroline Graff; Khalid Iqbal; Frank Jessen; Gunilla Johansson; Linus Jönsson; Miia Kivipelto; Martin Knapp; Francesca Mangialasche; René Melis; Agneta Nordberg; Marcel Olde Rikkert; Chengxuan Qiu; Thomas P Sakmar; Philip Scheltens; Lon S Schneider; Reisa Sperling; Lars O Tjernberg; Gunhild Waldemar; Anders Wimo; Henrik Zetterberg
Journal:  Lancet Neurol       Date:  2016-04       Impact factor: 44.182

5.  High total cholesterol levels in late life associated with a reduced risk of dementia.

Authors:  M M Mielke; P P Zandi; M Sjögren; D Gustafson; S Ostling; B Steen; I Skoog
Journal:  Neurology       Date:  2005-05-24       Impact factor: 9.910

Review 6.  Aging without Dementia is Achievable: Current Evidence from Epidemiological Research.

Authors:  Chengxuan Qiu; Laura Fratiglioni
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

7.  A self-report risk index to predict occurrence of dementia in three independent cohorts of older adults: the ANU-ADRI.

Authors:  Kaarin J Anstey; Nicolas Cherbuin; Pushpani M Herath; Chengxuan Qiu; Lewis H Kuller; Oscar L Lopez; Robert S Wilson; Laura Fratiglioni
Journal:  PLoS One       Date:  2014-01-23       Impact factor: 3.240

8.  Temporal trend in dementia incidence since 2002 and projections for prevalence in England and Wales to 2040: modelling study.

Authors:  Sara Ahmadi-Abhari; Maria Guzman-Castillo; Piotr Bandosz; Martin J Shipley; Graciela Muniz-Terrera; Archana Singh-Manoux; Mika Kivimäki; Andrew Steptoe; Simon Capewell; Martin O'Flaherty; Eric J Brunner
Journal:  BMJ       Date:  2017-07-05

9.  External validation of four dementia prediction models for use in the general community-dwelling population: a comparative analysis from the Rotterdam Study.

Authors:  Silvan Licher; Pınar Yilmaz; Maarten J G Leening; Frank J Wolters; Meike W Vernooij; Blossom C M Stephan; M Kamran Ikram; M Arfan Ikram
Journal:  Eur J Epidemiol       Date:  2018-05-08       Impact factor: 8.082

Review 10.  Current Developments in Dementia Risk Prediction Modelling: An Updated Systematic Review.

Authors:  Eugene Y H Tang; Stephanie L Harrison; Linda Errington; Mark F Gordon; Pieter Jelle Visser; Gerald Novak; Carole Dufouil; Carol Brayne; Louise Robinson; Lenore J Launer; Blossom C M Stephan
Journal:  PLoS One       Date:  2015-09-03       Impact factor: 3.240

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